From 387e1d1177e757b1d25ae40904578ce1e3460168 Mon Sep 17 00:00:00 2001
From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com>
Date: Wed, 15 Sep 2021 13:03:02 +0800
Subject: [PATCH] Update deepspeech_architecture.md

---
 docs/src/deepspeech_architecture.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/src/deepspeech_architecture.md b/docs/src/deepspeech_architecture.md
index f4cfcf9b4..580b13882 100644
--- a/docs/src/deepspeech_architecture.md
+++ b/docs/src/deepspeech_architecture.md
@@ -65,7 +65,7 @@ python3 ../../../utils/compute_mean_std.py \
  ```
 
 ### Encoder
-The Backbone is composed of two 2D convolution subsampling layers and a number of stacked single direction rnn layers. The 2D convolution subsampling layers extract feature represention from the raw audio feature and reduce the length of audio feature at the same time. After passing through the convolution subsampling layers, then the feature represention are input into the stacked rnn layers. For the stacked rnn layers, LSTM cell and GRU cell are provided to use. Adding one fully connected (fc) layer after the stacked rnn layers is optional. If the number of stacked rnn layers is less than 5, adding one fc layer after stacked rnn layers is recommand.
+The encoder is composed of two 2D convolution subsampling layers and a number of stacked single direction rnn layers. The 2D convolution subsampling layers extract feature represention from the raw audio feature and reduce the length of audio feature at the same time. After passing through the convolution subsampling layers, then the feature represention are input into the stacked rnn layers. For the stacked rnn layers, LSTM cell and GRU cell are provided to use. Adding one fully connected (fc) layer after the stacked rnn layers is optional. If the number of stacked rnn layers is less than 5, adding one fc layer after stacked rnn layers is recommand.
 
 The code of Encoder is in:
 ```